An Integrated Analysis of Neural Network Correlates of Categorical and Dimensional Models of Attention-Deficit/Hyperactivity Disorder.

Attention-deficit/hyperactivity disorder Categorical-dimensional analysis Connectivity Neural networks Neuropsychology Resting-state functional magnetic resonance imaging rfMRI

Journal

Biological psychiatry. Cognitive neuroscience and neuroimaging
ISSN: 2451-9030
Titre abrégé: Biol Psychiatry Cogn Neurosci Neuroimaging
Pays: United States
ID NLM: 101671285

Informations de publication

Date de publication:
05 2019
Historique:
received: 03 05 2017
revised: 26 11 2018
accepted: 26 11 2018
pubmed: 19 2 2019
medline: 28 1 2020
entrez: 19 2 2019
Statut: ppublish

Résumé

Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental disorder, putatively induced by dissociable dysfunctional biobehavioral pathways. Here, we present a proof-of-concept study to parse ADHD-related heterogeneity in its underlying neurobiology by investigating functional connectivity across multiple brain networks to 1) disentangle categorical diagnosis-related effects from dimensional behavior-related effects and 2) functionally map these neural correlates to neurocognitive measures. We identified functional connectivity abnormalities related to ADHD across 14 networks within a large resting-state functional magnetic resonance imaging dataset (n = 409; age = 17.5 ± 3.3 years). We tested these abnormalities for their association with the categorical ADHD diagnosis and with dimensional inattention and hyperactivity/impulsivity scores using a novel modeling framework, creating orthogonalized models. Next, we evaluated the relationship of these findings with neurocognitive measures (working memory, response inhibition, reaction time variability, reward sensitivity). Within the default mode network, we mainly observed categorical ADHD-related functional connectivity abnormalities, unrelated to neurocognitive measures. Clusters within the visual networks primarily related to dimensional scores of inattention and reaction time variability, while findings within the sensorimotor networks were mainly linked to hyperactivity/impulsivity and both reward sensitivity and working memory. Findings within the cerebellum network and salience network related to both categorical and dimensional ADHD measures and were linked to response inhibition and reaction time variability. This proof-of-concept study identified ADHD-related neural correlates across multiple functional networks, showing distinct categorical and dimensional mechanisms and their links to neurocognitive functioning.

Sections du résumé

BACKGROUND
Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental disorder, putatively induced by dissociable dysfunctional biobehavioral pathways. Here, we present a proof-of-concept study to parse ADHD-related heterogeneity in its underlying neurobiology by investigating functional connectivity across multiple brain networks to 1) disentangle categorical diagnosis-related effects from dimensional behavior-related effects and 2) functionally map these neural correlates to neurocognitive measures.
METHODS
We identified functional connectivity abnormalities related to ADHD across 14 networks within a large resting-state functional magnetic resonance imaging dataset (n = 409; age = 17.5 ± 3.3 years). We tested these abnormalities for their association with the categorical ADHD diagnosis and with dimensional inattention and hyperactivity/impulsivity scores using a novel modeling framework, creating orthogonalized models. Next, we evaluated the relationship of these findings with neurocognitive measures (working memory, response inhibition, reaction time variability, reward sensitivity).
RESULTS
Within the default mode network, we mainly observed categorical ADHD-related functional connectivity abnormalities, unrelated to neurocognitive measures. Clusters within the visual networks primarily related to dimensional scores of inattention and reaction time variability, while findings within the sensorimotor networks were mainly linked to hyperactivity/impulsivity and both reward sensitivity and working memory. Findings within the cerebellum network and salience network related to both categorical and dimensional ADHD measures and were linked to response inhibition and reaction time variability.
CONCLUSIONS
This proof-of-concept study identified ADHD-related neural correlates across multiple functional networks, showing distinct categorical and dimensional mechanisms and their links to neurocognitive functioning.

Identifiants

pubmed: 30773473
pii: S2451-9022(18)30330-6
doi: 10.1016/j.bpsc.2018.11.014
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

472-483

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH094469
Pays : United States
Organisme : NIBIB NIH HHS
ID : U54 EB020403
Pays : United States
Organisme : Wellcome Trust
ID : 098369/Z/12/Z
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Auteurs

Raimon H R Pruim (RHR)

Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands. Electronic address: r.h.r.pruim@gmail.com.

Christian F Beckmann (CF)

Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom.

Marianne Oldehinkel (M)

Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.

Jaap Oosterlaan (J)

Section of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, the Netherlands.

Dirk Heslenfeld (D)

Section of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, the Netherlands.

Catharina A Hartman (CA)

Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Pieter J Hoekstra (PJ)

Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Stephen V Faraone (SV)

Department of Psychiatry, SUNY Upstate Medical University, Syracuse, New York; Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York; K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway.

Barbara Franke (B)

Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.

Jan K Buitelaar (JK)

Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands.

Maarten Mennes (M)

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.

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